Backend Developer / Software Engineer (Go / Node Pub / Sub) Remote / Hybrid to £120k + Equity Are you an experienced Backend Developer who enjoys building distributed systems, real-time infrastructure and solving complex scalability challenges? You could be progressing your career at a high growth technology company whose messaging platform powers millions of real-time interactions for developers an click apply for full job details
Aug 27, 2026
Full time
Backend Developer / Software Engineer (Go / Node Pub / Sub) Remote / Hybrid to £120k + Equity Are you an experienced Backend Developer who enjoys building distributed systems, real-time infrastructure and solving complex scalability challenges? You could be progressing your career at a high growth technology company whose messaging platform powers millions of real-time interactions for developers an click apply for full job details
C&D Talent Advisory
Welwyn Garden City, Hertfordshire
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
Aug 27, 2026
Full time
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
NodeJS Backend Developer required by a a growing SaaS software business, working as part of a fast-moving product and engineering team. The role will focus on the design and development of scalable backend services using NodeJS and TypeScript, with the opportunity to take ownership of features from initial design through to production click apply for full job details
Aug 27, 2026
Full time
NodeJS Backend Developer required by a a growing SaaS software business, working as part of a fast-moving product and engineering team. The role will focus on the design and development of scalable backend services using NodeJS and TypeScript, with the opportunity to take ownership of features from initial design through to production click apply for full job details
Backend Software Engineer / Developer (Python AWS) London / WFH to £130k Are you a Backend Software Engineer with experience working in a Front Office trading environment? This is an opportunity to join the Asset Management division of a global Japanese bank, playing a key role as they continue to expand their product offering in the UK click apply for full job details
Aug 27, 2026
Full time
Backend Software Engineer / Developer (Python AWS) London / WFH to £130k Are you a Backend Software Engineer with experience working in a Front Office trading environment? This is an opportunity to join the Asset Management division of a global Japanese bank, playing a key role as they continue to expand their product offering in the UK click apply for full job details
C&D Talent Advisory is seeking a Founding Engineer for Infrastructure & Platform in London. You will join a seed-stage startup building AI-native risk infrastructure for regulated enterprises and own core backend services and the infrastructure that underpins them. You will shape secure, scalable systems, design cloud foundations, and drive deployment pipelines while collaborating closely with leadership on technical direction in an on-site role at King's Cross with some flexibility.
Aug 27, 2026
Full time
C&D Talent Advisory is seeking a Founding Engineer for Infrastructure & Platform in London. You will join a seed-stage startup building AI-native risk infrastructure for regulated enterprises and own core backend services and the infrastructure that underpins them. You will shape secure, scalable systems, design cloud foundations, and drive deployment pipelines while collaborating closely with leadership on technical direction in an on-site role at King's Cross with some flexibility.
C&D Talent Advisory is seeking a Founding Engineer for an on-site role in London, focused on building the agent platform and AI-powered risk infrastructure for regulated enterprises. You will own multi-step workflows, tool calls, and reliability layers around frontier LLMs in a seed-stage startup. Ideal candidates have 6-7+ years of backend experience, strong TS/Node.js skills, and history shipping production AI features. Equity is included, with a competitive on-site package.
Aug 27, 2026
Full time
C&D Talent Advisory is seeking a Founding Engineer for an on-site role in London, focused on building the agent platform and AI-powered risk infrastructure for regulated enterprises. You will own multi-step workflows, tool calls, and reliability layers around frontier LLMs in a seed-stage startup. Ideal candidates have 6-7+ years of backend experience, strong TS/Node.js skills, and history shipping production AI features. Equity is included, with a competitive on-site package.
C&D Talent Advisory
Welwyn Garden City, Hertfordshire
C&D Talent Advisory is hiring a Founding Engineer for Infrastructure & Platform in London, on-site with some flexibility. You will own core backend services and cloud foundations, shaping a secure, scalable platform for enterprise AI risk infrastructure. Expect autonomy and alignment with leadership as you build multi-year deployment foundations. The role demands 6+ years of backend experience, Terraform and CI/CD mastery, and a strong focus on security and reliability in a seed-stage,
Aug 27, 2026
Full time
C&D Talent Advisory is hiring a Founding Engineer for Infrastructure & Platform in London, on-site with some flexibility. You will own core backend services and cloud foundations, shaping a secure, scalable platform for enterprise AI risk infrastructure. Expect autonomy and alignment with leadership as you build multi-year deployment foundations. The role demands 6+ years of backend experience, Terraform and CI/CD mastery, and a strong focus on security and reliability in a seed-stage,
C&D Talent Advisory presents a founding engineer role in London focused on building the infrastructure and platform for a security conscious, AI driven risk platform. You will own backend services, cloud foundations, and deployment pipelines for multi-year enterprise deployments. You will partner with leadership to shape technical direction, while maintaining high autonomy and ownership in a seed stage, fast growth environment.
Aug 27, 2026
Full time
C&D Talent Advisory presents a founding engineer role in London focused on building the infrastructure and platform for a security conscious, AI driven risk platform. You will own backend services, cloud foundations, and deployment pipelines for multi-year enterprise deployments. You will partner with leadership to shape technical direction, while maintaining high autonomy and ownership in a seed stage, fast growth environment.
Founding Engineer, Agent Systems London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: Typically 6-7+ years, with flexibility for exceptional AI-native profiles Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Agent Systems Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Work on production AI systems used across financial services, regulated technology, and healthcare Own the agent platform powering customer-facing AI features Build the orchestration, evaluation, and reliability layers around frontier LLMs Turn model capabilities into production systems that domain experts can trust Set engineering standards for when AI features are reliable enough to ship Operate with founding-team levels of ownership and technical influence Work in a company already generating seven-figure revenue through multi-year enterprise contracts What you'll own Build and evolve the core agent orchestration platform Design multi-step agent workflows and tool-calling systems Build context-management and agent-scaffolding infrastructure Develop secure sandboxing for agent execution Implement prompt-injection defenses and other agent-security controls Build production evaluation frameworks for fuzzy, high-stakes outputs Curate evaluation datasets and regression suites Design and improve LLM-as-judge systems Evaluate model performance across upgrades and provider changes Build retries, fallbacks, and circuit-breaker mechanisms Own prompt versioning and AI-quality infrastructure Design systems around async processing, queues, and idempotency Define the internal standard for production AI quality Own AI reliability and make ship/no-ship decisions when necessary What we're looking for Strong professional backend engineering experience 1-2+ years of experience shipping production LLM-powered features Strong TypeScript or Node.js experience Experience building customer-facing production AI systems Hands-on experience with agent frameworks Experience with tool calling and multi-step orchestration Production experience building AI evaluations Experience with dataset curation and regression testing Understanding of LLM-as-judge approaches and failure modes Strong systems-thinking ability Experience with asynchronous systems and queues Understanding of idempotency and reliability patterns Strong product-engineering mindset Ability to own features from customer problem through production deployment High level of autonomy and accountability Based in London or able to commute regularly for an on-site-first role Particularly valuable experience Anthropic APIs OpenAI APIs Open-weight models Production LLM workloads at scale Agent orchestration frameworks AI evaluation infrastructure Model fallback architecture Prompt versioning Prompt-injection defense Agent security Sandboxed tool execution Production RAG systems High-stakes AI applications Compliance Governance, Risk and Compliance (GRC) Audit technology Cybersecurity Financial services Regulated enterprise software Strong profile signals Former founder or technical founder Former CTO returning to hands-on engineering Founding or early-stage engineering experience Experience at a high-growth product company Experience at a leading technology or AI organization Significant independent AI projects or side projects Strong evidence of product ownership History of shipping customer-facing systems end-to-end AI-native development workflow Heavy use of coding agents such as Claude Code or equivalent Ability to move between product, backend, AI systems, and reliability work Strong technical judgment rather than purely research-oriented expertise This role may not be the right fit if you Have exclusively front-end or front-end-first engineering experience Have a purely AI research background without production software engineering ownership Have worked primarily in Developer Relations or Developer Experience Have only built internal AI tools rather than customer-facing production systems Lack meaningful backend engineering experience Have AI experience limited to prototypes or demos Prefer research over shipping production products Lack experience taking ownership of production reliability Prefer narrowly scoped engineering responsibilities Are uncomfortable making judgment calls around AI quality and production readiness Are not comfortable working primarily on-site in London Technical environment TypeScript Node.js React Tailwind Express Azure Postgres Terraform GitHub Actions Docker Anthropic-first AI stack Claude Code What you'll get Founding-level ownership of the agent platform Significant influence over AI architecture and engineering standards Opportunity to build production-grade agent systems from an early stage Direct impact on customer-facing AI quality and reliability Exposure to frontier LLM APIs in demanding production environments Work on technically difficult evaluation and reliability problems Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Significant AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities Fast-moving engineering environment with high autonomy
Aug 27, 2026
Full time
Founding Engineer, Agent Systems London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: Typically 6-7+ years, with flexibility for exceptional AI-native profiles Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Agent Systems Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Work on production AI systems used across financial services, regulated technology, and healthcare Own the agent platform powering customer-facing AI features Build the orchestration, evaluation, and reliability layers around frontier LLMs Turn model capabilities into production systems that domain experts can trust Set engineering standards for when AI features are reliable enough to ship Operate with founding-team levels of ownership and technical influence Work in a company already generating seven-figure revenue through multi-year enterprise contracts What you'll own Build and evolve the core agent orchestration platform Design multi-step agent workflows and tool-calling systems Build context-management and agent-scaffolding infrastructure Develop secure sandboxing for agent execution Implement prompt-injection defenses and other agent-security controls Build production evaluation frameworks for fuzzy, high-stakes outputs Curate evaluation datasets and regression suites Design and improve LLM-as-judge systems Evaluate model performance across upgrades and provider changes Build retries, fallbacks, and circuit-breaker mechanisms Own prompt versioning and AI-quality infrastructure Design systems around async processing, queues, and idempotency Define the internal standard for production AI quality Own AI reliability and make ship/no-ship decisions when necessary What we're looking for Strong professional backend engineering experience 1-2+ years of experience shipping production LLM-powered features Strong TypeScript or Node.js experience Experience building customer-facing production AI systems Hands-on experience with agent frameworks Experience with tool calling and multi-step orchestration Production experience building AI evaluations Experience with dataset curation and regression testing Understanding of LLM-as-judge approaches and failure modes Strong systems-thinking ability Experience with asynchronous systems and queues Understanding of idempotency and reliability patterns Strong product-engineering mindset Ability to own features from customer problem through production deployment High level of autonomy and accountability Based in London or able to commute regularly for an on-site-first role Particularly valuable experience Anthropic APIs OpenAI APIs Open-weight models Production LLM workloads at scale Agent orchestration frameworks AI evaluation infrastructure Model fallback architecture Prompt versioning Prompt-injection defense Agent security Sandboxed tool execution Production RAG systems High-stakes AI applications Compliance Governance, Risk and Compliance (GRC) Audit technology Cybersecurity Financial services Regulated enterprise software Strong profile signals Former founder or technical founder Former CTO returning to hands-on engineering Founding or early-stage engineering experience Experience at a high-growth product company Experience at a leading technology or AI organization Significant independent AI projects or side projects Strong evidence of product ownership History of shipping customer-facing systems end-to-end AI-native development workflow Heavy use of coding agents such as Claude Code or equivalent Ability to move between product, backend, AI systems, and reliability work Strong technical judgment rather than purely research-oriented expertise This role may not be the right fit if you Have exclusively front-end or front-end-first engineering experience Have a purely AI research background without production software engineering ownership Have worked primarily in Developer Relations or Developer Experience Have only built internal AI tools rather than customer-facing production systems Lack meaningful backend engineering experience Have AI experience limited to prototypes or demos Prefer research over shipping production products Lack experience taking ownership of production reliability Prefer narrowly scoped engineering responsibilities Are uncomfortable making judgment calls around AI quality and production readiness Are not comfortable working primarily on-site in London Technical environment TypeScript Node.js React Tailwind Express Azure Postgres Terraform GitHub Actions Docker Anthropic-first AI stack Claude Code What you'll get Founding-level ownership of the agent platform Significant influence over AI architecture and engineering standards Opportunity to build production-grade agent systems from an early stage Direct impact on customer-facing AI quality and reliability Exposure to frontier LLM APIs in demanding production environments Work on technically difficult evaluation and reliability problems Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Significant AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities Fast-moving engineering environment with high autonomy
C&D Talent Advisory is seeking a Founding Engineer to own the agent platform in a seed-stage startup. You will design multi-step agent workflows, tool-calling, and secure sandboxing while ensuring production-grade AI reliability and governance. This on-site London role offers significant ownership and the chance to shape a new risk infrastructure for regulated industries. The position requires strong backend engineering with TypeScript/Node.js expertise and experience shipping production AI
Aug 27, 2026
Full time
C&D Talent Advisory is seeking a Founding Engineer to own the agent platform in a seed-stage startup. You will design multi-step agent workflows, tool-calling, and secure sandboxing while ensuring production-grade AI reliability and governance. This on-site London role offers significant ownership and the chance to shape a new risk infrastructure for regulated industries. The position requires strong backend engineering with TypeScript/Node.js expertise and experience shipping production AI
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Aug 27, 2026
Full time
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Backend Software Engineer / Developer London / WFH to £80k Are you a backend focused technologist who enjoys problem solving and working on complex systems at the cutting edge of technology? You could be progressing your career as a Backend Software Engineer at the world's most advanced cybersecurity technology business that uses AI technology to protect clients across the globe from advanced cyber click apply for full job details
Aug 27, 2026
Full time
Backend Software Engineer / Developer London / WFH to £80k Are you a backend focused technologist who enjoys problem solving and working on complex systems at the cutting edge of technology? You could be progressing your career as a Backend Software Engineer at the world's most advanced cybersecurity technology business that uses AI technology to protect clients across the globe from advanced cyber click apply for full job details
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
Aug 27, 2026
Full time
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
At Scale AI, we're not just building AI tools-we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes. We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents-owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard won field lessons into reusable platform capabilities that compound our velocity over time. This is a high autonomy, founder mindset role. You'll own outcomes end to end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap. You Will Own delivery for our largest accounts. Lead end to end execution across our most strategic enterprise customers-scoping engagements, sequencing delivery, removing blockers, and making sharp trade offs between scope, speed, and quality to drive production adoption. Lead and grow the team. Hire, develop, and retain a world class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity. Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship-agents, models, evaluations, backend services, data pipelines, and cloud infrastructure-so you can review architectures, debug production issues, and raise the quality bar across every engagement. Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last. Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level. Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents-making sure the systems we ship are genuinely enterprise ready, not just demo ready. Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities. Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high. Ideally You'd Have 10+ years of software engineering or technical delivery experience, including 3+ years leading high performing customer facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar). A solid engineering background. You've led high pressure technical projects from prototype to production, and you're still comfortable whiteboarding system architectures, reviewing code, and debugging production issues alongside your team. Proven ability to scale a delivery team. You've built hiring bars, onboarding programs, and operating standards for technical organizations, and you've interviewed and hired at volume for senior engineering roles. Hands on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. Experience deploying AI into complex enterprise environments, including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements. A track record of turning field work into product leverage. You've codified repeatable patterns from customer engagements into tools, libraries, or platform features that scaled across the next wave of deployments. Strong cross functional leadership. You've aligned Sales, Product, Engineering, Research, and Customer Success around shared goals and delivered outcomes that required all of them to row in the same direction. Founder mindset. High autonomy, high motivation, high ownership. Comfortable operating with ambiguity, bias toward action, and the judgment to know when to ship and when to raise the bar. Exceptional communication. You can translate technical tradeoffs into decisions for executive and non technical audiences, and model the customer empathy you expect from your team. At Scale, we believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.
Aug 27, 2026
Full time
At Scale AI, we're not just building AI tools-we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes. We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents-owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard won field lessons into reusable platform capabilities that compound our velocity over time. This is a high autonomy, founder mindset role. You'll own outcomes end to end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap. You Will Own delivery for our largest accounts. Lead end to end execution across our most strategic enterprise customers-scoping engagements, sequencing delivery, removing blockers, and making sharp trade offs between scope, speed, and quality to drive production adoption. Lead and grow the team. Hire, develop, and retain a world class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity. Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship-agents, models, evaluations, backend services, data pipelines, and cloud infrastructure-so you can review architectures, debug production issues, and raise the quality bar across every engagement. Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last. Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level. Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents-making sure the systems we ship are genuinely enterprise ready, not just demo ready. Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities. Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high. Ideally You'd Have 10+ years of software engineering or technical delivery experience, including 3+ years leading high performing customer facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar). A solid engineering background. You've led high pressure technical projects from prototype to production, and you're still comfortable whiteboarding system architectures, reviewing code, and debugging production issues alongside your team. Proven ability to scale a delivery team. You've built hiring bars, onboarding programs, and operating standards for technical organizations, and you've interviewed and hired at volume for senior engineering roles. Hands on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. Experience deploying AI into complex enterprise environments, including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements. A track record of turning field work into product leverage. You've codified repeatable patterns from customer engagements into tools, libraries, or platform features that scaled across the next wave of deployments. Strong cross functional leadership. You've aligned Sales, Product, Engineering, Research, and Customer Success around shared goals and delivered outcomes that required all of them to row in the same direction. Founder mindset. High autonomy, high motivation, high ownership. Comfortable operating with ambiguity, bias toward action, and the judgment to know when to ship and when to raise the bar. Exceptional communication. You can translate technical tradeoffs into decisions for executive and non technical audiences, and model the customer empathy you expect from your team. At Scale, we believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.
Our Vision We are building a next-generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships-ultimately leading to significant productivity gains and increased wallet share. We are looking for a visionary, hands on engineering leader to build and scale the platform that will make this a reality. We are looking for a visionary, hands on engineering leader to build and scale the platform that will make this a reality. The Role As the Director of Agentic Platform Engineering, you will be a player coach responsible for the technical vision, architecture, and execution of this greenfield platform. You will join a world class engineering team being built from the ground up, while remaining deeply technical and contributing to the core development of the platform. This is a unique opportunity to blend strategic leadership with hands on engineering to build a product that will have a direct and measurable impact on the front lines of our business. Contract type: Full time. Key Responsibilities Platform Architecture & Development: Lead the design, architecture, and hands on development of a scalable, secure, and resilient agentic AI platform from concept to production. Technical Leadership & Hands On Engineering: Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example. Team Building & Mentorship: Recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers. Foster a culture of innovation, excellence, and accountability. Strategic Roadmapping: Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant technical solutions. Cross Functional Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real world banking challenges. Operational Excellence: Implement and champion best in class engineering practices, including CI/CD, automated testing, infrastructure as code, and robust monitoring to ensure enterprise grade reliability. Business Impact: Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth. Compliance & Security: Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry. Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Experience: Significant experience in software engineering, with proven years in a leadership role, leading high-performing engineering teams. Hands On Leader: Proven experience as a "player-coach" who can lead from the front, contribute to the codebase, and mentor junior and senior engineers. Platform Building: A strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up. Domain Knowledge: Experience in the financial services industry (Corporate Banking, Investment Banking, FinTech) is a significant plus. An understanding of banking workflows and data is highly desirable. Communication Skills: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals. Technical Skills AI / GenAI / Agentic Platforms LLM & Agentic Frameworks: Deep expertise in building production grade agentic systems using GCP as primary (ADK, Vertex AI) Multi Agent Systems: Hands on experience designing and implementing multi agent architectures (task decomposition, coordination, orchestration, and agent to agent (A2A) interaction patterns) Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context sharing patterns Knowledge Graphs & Reasoning: Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation RAG & Knowledge Systems: End to end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization Model Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM compliance Enterprise AI Integration & Data API- and event driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain driven design, event driven systems APIs & Integration: REST/gRPC; Apigee, Kong Data & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, Kafka Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) IaC: Terraform CI/CD: GitHub Actions, Jenkins Observability: Splunk, ELK, Prometheus, Grafana Security & Compliance Secure coding, API security, Zero Trust Data privacy, encryption, access control Regulatory compliance and AI governance (MRM) What We Offer A leadership role in a high-priority, transformative initiative with executive visibility. The opportunity to build a cutting edge AI platform from scratch. A competitive compensation package including salary, bonus, and benefits. A collaborative and innovative culture that values technical excellence and business impact. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi's EEO Policy Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Aug 27, 2026
Full time
Our Vision We are building a next-generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships-ultimately leading to significant productivity gains and increased wallet share. We are looking for a visionary, hands on engineering leader to build and scale the platform that will make this a reality. We are looking for a visionary, hands on engineering leader to build and scale the platform that will make this a reality. The Role As the Director of Agentic Platform Engineering, you will be a player coach responsible for the technical vision, architecture, and execution of this greenfield platform. You will join a world class engineering team being built from the ground up, while remaining deeply technical and contributing to the core development of the platform. This is a unique opportunity to blend strategic leadership with hands on engineering to build a product that will have a direct and measurable impact on the front lines of our business. Contract type: Full time. Key Responsibilities Platform Architecture & Development: Lead the design, architecture, and hands on development of a scalable, secure, and resilient agentic AI platform from concept to production. Technical Leadership & Hands On Engineering: Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example. Team Building & Mentorship: Recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers. Foster a culture of innovation, excellence, and accountability. Strategic Roadmapping: Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant technical solutions. Cross Functional Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real world banking challenges. Operational Excellence: Implement and champion best in class engineering practices, including CI/CD, automated testing, infrastructure as code, and robust monitoring to ensure enterprise grade reliability. Business Impact: Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth. Compliance & Security: Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry. Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Experience: Significant experience in software engineering, with proven years in a leadership role, leading high-performing engineering teams. Hands On Leader: Proven experience as a "player-coach" who can lead from the front, contribute to the codebase, and mentor junior and senior engineers. Platform Building: A strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up. Domain Knowledge: Experience in the financial services industry (Corporate Banking, Investment Banking, FinTech) is a significant plus. An understanding of banking workflows and data is highly desirable. Communication Skills: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals. Technical Skills AI / GenAI / Agentic Platforms LLM & Agentic Frameworks: Deep expertise in building production grade agentic systems using GCP as primary (ADK, Vertex AI) Multi Agent Systems: Hands on experience designing and implementing multi agent architectures (task decomposition, coordination, orchestration, and agent to agent (A2A) interaction patterns) Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context sharing patterns Knowledge Graphs & Reasoning: Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation RAG & Knowledge Systems: End to end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization Model Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM compliance Enterprise AI Integration & Data API- and event driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain driven design, event driven systems APIs & Integration: REST/gRPC; Apigee, Kong Data & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, Kafka Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) IaC: Terraform CI/CD: GitHub Actions, Jenkins Observability: Splunk, ELK, Prometheus, Grafana Security & Compliance Secure coding, API security, Zero Trust Data privacy, encryption, access control Regulatory compliance and AI governance (MRM) What We Offer A leadership role in a high-priority, transformative initiative with executive visibility. The opportunity to build a cutting edge AI platform from scratch. A competitive compensation package including salary, bonus, and benefits. A collaborative and innovative culture that values technical excellence and business impact. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi's EEO Policy Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Help build and operate reliable, scalable and secure digital services that support UK businesses and trade . Department for Business, Innovation, Science and Trade (BIST), in partnership with Inspire People, is seeking a Senior Backend Engineer. Whilst the team primarily develops in Python, we welcome applications from experienced backend developers with Java, C#, Go or similar object-oriented prog click apply for full job details
Aug 26, 2026
Full time
Help build and operate reliable, scalable and secure digital services that support UK businesses and trade . Department for Business, Innovation, Science and Trade (BIST), in partnership with Inspire People, is seeking a Senior Backend Engineer. Whilst the team primarily develops in Python, we welcome applications from experienced backend developers with Java, C#, Go or similar object-oriented prog click apply for full job details
Help build and operate reliable, scalable and secure digital services that support UK businesses and trade . Department for Business, Innovation, Science and Trade (BIST), in partnership with Inspire People, is seeking a Senior Backend Engineer. Whilst the team primarily develops in Python, we welcome applications from experienced backend developers with Java, C#, Go or similar object-oriented prog click apply for full job details
Aug 26, 2026
Full time
Help build and operate reliable, scalable and secure digital services that support UK businesses and trade . Department for Business, Innovation, Science and Trade (BIST), in partnership with Inspire People, is seeking a Senior Backend Engineer. Whilst the team primarily develops in Python, we welcome applications from experienced backend developers with Java, C#, Go or similar object-oriented prog click apply for full job details
Senior Engineering Manager We are looking for a Senior Engineering Manager to lead the Compliance strategy for our product engineering team. In this role, you will be the leader overseeing the delivery, performance, and people management for our Compliance squads, composed of 8-15 engineers. You are in charge of the performance, productivity, and innovation within this scope, ensuring that how clients and freelancers connect on Malt remains secure and trustworthy. Today, our compliance ecosystem relies on robust KYC flows; tomorrow, we aim for a full AI-driven compliance experience. You play a crucial role in defining and implementing our technical strategy, driving project timelines, and fostering a high-performing and collaborative engineering environment. This is a hands on leadership role where you are shaping the safety and integrity of the product experience that hundreds of thousands of freelancers rely on. Key responsibilities Lead and inspire a high-performing team You will directly manage 2-3 cross-functional squads (8 to 15 engineers), ensuring a high-trust environment where talent thrives. This is a direct leadership role not a manager of managers position focused on setting clear direction, establishing strong team rituals, and maintaining high morale and engagement. Co-build product and technical strategy Partner closely with the Product Director and Design Lead to co-create the long term vision for the Compliance domain. You will translate complex regulatory requirements into a seamless user experience, ensuring that security measures never compromise platform usability. Together, you will balance technical debt, innovative features, and high stakes roadmap priorities to deliver maximum value to our users. Raise the bar on delivery and engineering excellence Own the delivery lifecycle by setting and tracking KPIs for velocity and quality. You'll master the art of the trade off, strategically balancing rapid delivery with long term architectural health. By aligning team output with company strategy, you ensure every engineering effort drives maximum impact and scale. Knowledge multiplier You will also contribute to the Engineering Manager Guild to scale these best practices and strategic frameworks across the entire organization. Own our compliance ecosystem You'll be the primary tech point of contact for our external partners, from PSPs to legal data providers. You'll ensure smooth integration, operational reliability, and long term scalability in this core part of Malt's product. About you Hands on Manager You maintain your "technical mentorship" through code reviews and architecture discussions. You likely have a strong backend foundation (ideally in java/Kotlin) and a passion for engineering excellence. Systems Thinker You thrive in fast paced, evolving environments and excel at managing technical migrations or structural shifts without losing focus on the mission. Compliance Domain experience You have a deep background in scaling compliance or fintech systems. You understand the unique constraints of high security environments and how to navigate them without slowing down. Strategic Risk Manager You are comfortable at the intersection of tech and regulation. You know how to make high impact decisions that protect the business while enabling product growth. Impactful Communicator Fluent in English (French is a bonus), you can distill complex technical or AI concepts into clear, actionable insights for stakeholders at any level. Technical watch You keep an eye on emerging tech, especially around AI. You don't need to be an expert, but you're eager to explore how it can help your team deliver more value, faster. Benefits Onboarding: Before easing into your new role, you'll spend your first week learning about our culture, products, and services with other onboardees at our office in Paris. Remote work: Hybrid remote policy - 3 days office / 2 days home office. Annual leave: 30 days per year. Sabbatical: 1 month paid sabbatical once you've been with Malt for 3 years. Stock options: Every Malter is entitled to stock options. Private health insurance: Rewarded for healthy living by our UK provider Bupa. Cycle to work scheme: Save on a bike and equipment. Season ticket loan: Save on public transport. Pension: Malt contributes 5% through Aviva. Dog friendly office: In the heart of London. Free books: If you're interested in learning more about any topic relevant to your career, just tell us the books you'd like to read, and we'll order them for you-without any questions asked or approval processes to follow. At Malt, we are committed to fostering an inclusive and diverse workplace. We recruit based on skills, experience, and potential, without any form of discrimination related to age, gender, sexual orientation, ethnicity, religion, or disability. Our mission is to create a work environment where everyone feels valued, respected, and safe to thrive. Your profile may be subject to background screening. For more information see our candidate privacy policy.
Aug 26, 2026
Full time
Senior Engineering Manager We are looking for a Senior Engineering Manager to lead the Compliance strategy for our product engineering team. In this role, you will be the leader overseeing the delivery, performance, and people management for our Compliance squads, composed of 8-15 engineers. You are in charge of the performance, productivity, and innovation within this scope, ensuring that how clients and freelancers connect on Malt remains secure and trustworthy. Today, our compliance ecosystem relies on robust KYC flows; tomorrow, we aim for a full AI-driven compliance experience. You play a crucial role in defining and implementing our technical strategy, driving project timelines, and fostering a high-performing and collaborative engineering environment. This is a hands on leadership role where you are shaping the safety and integrity of the product experience that hundreds of thousands of freelancers rely on. Key responsibilities Lead and inspire a high-performing team You will directly manage 2-3 cross-functional squads (8 to 15 engineers), ensuring a high-trust environment where talent thrives. This is a direct leadership role not a manager of managers position focused on setting clear direction, establishing strong team rituals, and maintaining high morale and engagement. Co-build product and technical strategy Partner closely with the Product Director and Design Lead to co-create the long term vision for the Compliance domain. You will translate complex regulatory requirements into a seamless user experience, ensuring that security measures never compromise platform usability. Together, you will balance technical debt, innovative features, and high stakes roadmap priorities to deliver maximum value to our users. Raise the bar on delivery and engineering excellence Own the delivery lifecycle by setting and tracking KPIs for velocity and quality. You'll master the art of the trade off, strategically balancing rapid delivery with long term architectural health. By aligning team output with company strategy, you ensure every engineering effort drives maximum impact and scale. Knowledge multiplier You will also contribute to the Engineering Manager Guild to scale these best practices and strategic frameworks across the entire organization. Own our compliance ecosystem You'll be the primary tech point of contact for our external partners, from PSPs to legal data providers. You'll ensure smooth integration, operational reliability, and long term scalability in this core part of Malt's product. About you Hands on Manager You maintain your "technical mentorship" through code reviews and architecture discussions. You likely have a strong backend foundation (ideally in java/Kotlin) and a passion for engineering excellence. Systems Thinker You thrive in fast paced, evolving environments and excel at managing technical migrations or structural shifts without losing focus on the mission. Compliance Domain experience You have a deep background in scaling compliance or fintech systems. You understand the unique constraints of high security environments and how to navigate them without slowing down. Strategic Risk Manager You are comfortable at the intersection of tech and regulation. You know how to make high impact decisions that protect the business while enabling product growth. Impactful Communicator Fluent in English (French is a bonus), you can distill complex technical or AI concepts into clear, actionable insights for stakeholders at any level. Technical watch You keep an eye on emerging tech, especially around AI. You don't need to be an expert, but you're eager to explore how it can help your team deliver more value, faster. Benefits Onboarding: Before easing into your new role, you'll spend your first week learning about our culture, products, and services with other onboardees at our office in Paris. Remote work: Hybrid remote policy - 3 days office / 2 days home office. Annual leave: 30 days per year. Sabbatical: 1 month paid sabbatical once you've been with Malt for 3 years. Stock options: Every Malter is entitled to stock options. Private health insurance: Rewarded for healthy living by our UK provider Bupa. Cycle to work scheme: Save on a bike and equipment. Season ticket loan: Save on public transport. Pension: Malt contributes 5% through Aviva. Dog friendly office: In the heart of London. Free books: If you're interested in learning more about any topic relevant to your career, just tell us the books you'd like to read, and we'll order them for you-without any questions asked or approval processes to follow. At Malt, we are committed to fostering an inclusive and diverse workplace. We recruit based on skills, experience, and potential, without any form of discrimination related to age, gender, sexual orientation, ethnicity, religion, or disability. Our mission is to create a work environment where everyone feels valued, respected, and safe to thrive. Your profile may be subject to background screening. For more information see our candidate privacy policy.
Adecco Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job title: Senior Quality Engineer Location : London (2 days per week onsite Mon & Thu) Contract: 6 months with possible extension Rate : £500 - £550 inside IR35 Key Responsibilities Design, develop, execute, and maintain manual and automated test cases for functional, integration, system, regression, and end-to-end testing. Validate merchant onboarding journeys, our Accept application flows, payment processing, settlements, and terminal management capabilities. Execute testing across web, mobile (iOS & Android), API, and backend systems. Prepare detailed test plans, test scenarios, test cases, and test execution reports. Perform API testing and integration testing across internal and third-party platforms. Support SIT, UAT, FOV (First Occurrence Validation), production releases, and post-release verification activities. Validate business-critical payment processing and settlement workflows. Perform data validation, reconciliation, and operational testing to ensure end-to-end integrity. Identify, log, track, and verify defects through to closure using Jira or equivalent tools. Collaborate with developers and engineers to improve quality and test coverage throughout the software development lifecycle. Support CI/CD pipelines and contribute to continuous testing practices. Participate in incident investigations, root cause analysis, and post-release reviews. Ensure adherence to our security, governance, risk, and compliance requirements. Participate actively in Agile ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives. Skills & Technologies Testing & Quality Assurance Functional Testing System Integration Testing (SIT) User Acceptance Testing (UAT) End-to-End Testing Regression Testing Mobile Application Testing API Testing Production Verification / FOV Testing Defect Management & Root Cause Analysis Test Planning & Test Execution Automation & Tools Selenium Playwright (essential) Postman REST API Testing JMeter / Performance Testing Jira Xray / Zephyr Technical Skills SQL and Database Testing JSON / REST Services Mobile Testing (iOS & Android) Web Application Testing Test Data Management Log Analysis and Troubleshooting DevOps & Delivery GitHub Git CI/CD Pipelines Jenkins / Azure DevOps (Preferred) Agile / Scrum Methodologies Release Management Processes Domain Knowledge (Highly Preferred) The ideal candidate should have knowledge and experience in the following areas: Merchant Services & Payments Merchant Acquiring Merchant Onboarding Payment Processing Terminal Payments Contactless Payments Merchant Settlement & Reconciliation Payment Operations Payment Lifecycle Management Merchant Platforms Merchant Portal Salesforce iSnap Terminal Estate Management Customer Onboarding Platforms Card Schemes Strong understanding of: Visa Mastercard Diners Club American Express (Desirable) Including: Authorisation Flows Settlement Processes Merchant Fees & Charges Interchange & Scheme Fees Chargebacks & Disputes Compliance Requirements Key Qualities Expected Ownership & Accountability Proactive Communication Strong Problem-Solving Skills Attention to Detail Collaboration & Teamwork Customer-Focused Mindset Time Management & Prioritisation Continuous Learning & Improvement Ability to work effectively across UK and India-based teams Positive and Professional Attitude Preferred Experience Years of Quality Assurance / Testing experience. Experience within Banking, Financial Services, Payments, or Merchant Acquiring domains. Strong experience testing customer-facing mobile and web applications. Experience with card payments, merchant onboarding, and acquiring platforms. Experience supporting production releases, FOV testing, and incident investigations. Exposure to third-party payment providers is advantageous. Experience working within large-scale Agile delivery environments. Adecco Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Aug 26, 2026
Full time
Adecco Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job title: Senior Quality Engineer Location : London (2 days per week onsite Mon & Thu) Contract: 6 months with possible extension Rate : £500 - £550 inside IR35 Key Responsibilities Design, develop, execute, and maintain manual and automated test cases for functional, integration, system, regression, and end-to-end testing. Validate merchant onboarding journeys, our Accept application flows, payment processing, settlements, and terminal management capabilities. Execute testing across web, mobile (iOS & Android), API, and backend systems. Prepare detailed test plans, test scenarios, test cases, and test execution reports. Perform API testing and integration testing across internal and third-party platforms. Support SIT, UAT, FOV (First Occurrence Validation), production releases, and post-release verification activities. Validate business-critical payment processing and settlement workflows. Perform data validation, reconciliation, and operational testing to ensure end-to-end integrity. Identify, log, track, and verify defects through to closure using Jira or equivalent tools. Collaborate with developers and engineers to improve quality and test coverage throughout the software development lifecycle. Support CI/CD pipelines and contribute to continuous testing practices. Participate in incident investigations, root cause analysis, and post-release reviews. Ensure adherence to our security, governance, risk, and compliance requirements. Participate actively in Agile ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives. Skills & Technologies Testing & Quality Assurance Functional Testing System Integration Testing (SIT) User Acceptance Testing (UAT) End-to-End Testing Regression Testing Mobile Application Testing API Testing Production Verification / FOV Testing Defect Management & Root Cause Analysis Test Planning & Test Execution Automation & Tools Selenium Playwright (essential) Postman REST API Testing JMeter / Performance Testing Jira Xray / Zephyr Technical Skills SQL and Database Testing JSON / REST Services Mobile Testing (iOS & Android) Web Application Testing Test Data Management Log Analysis and Troubleshooting DevOps & Delivery GitHub Git CI/CD Pipelines Jenkins / Azure DevOps (Preferred) Agile / Scrum Methodologies Release Management Processes Domain Knowledge (Highly Preferred) The ideal candidate should have knowledge and experience in the following areas: Merchant Services & Payments Merchant Acquiring Merchant Onboarding Payment Processing Terminal Payments Contactless Payments Merchant Settlement & Reconciliation Payment Operations Payment Lifecycle Management Merchant Platforms Merchant Portal Salesforce iSnap Terminal Estate Management Customer Onboarding Platforms Card Schemes Strong understanding of: Visa Mastercard Diners Club American Express (Desirable) Including: Authorisation Flows Settlement Processes Merchant Fees & Charges Interchange & Scheme Fees Chargebacks & Disputes Compliance Requirements Key Qualities Expected Ownership & Accountability Proactive Communication Strong Problem-Solving Skills Attention to Detail Collaboration & Teamwork Customer-Focused Mindset Time Management & Prioritisation Continuous Learning & Improvement Ability to work effectively across UK and India-based teams Positive and Professional Attitude Preferred Experience Years of Quality Assurance / Testing experience. Experience within Banking, Financial Services, Payments, or Merchant Acquiring domains. Strong experience testing customer-facing mobile and web applications. Experience with card payments, merchant onboarding, and acquiring platforms. Experience supporting production releases, FOV testing, and incident investigations. Exposure to third-party payment providers is advantageous. Experience working within large-scale Agile delivery environments. Adecco Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
European SaaS Benchmark is seeking a Senior Engineering Manager in London to lead the Compliance strategy for the product engineering team. This role involves overseeing delivery, performance, and innovation for teams of engineers, ensuring a secure and trustworthy connection for clients and freelancers. Key responsibilities include managing cross-functional squads, developing product strategy, and ensuring operational reliability. The ideal candidate will have a strong backend foundation, exceptional communication skills, and a background in compliance or fintech systems. The position offers a hybrid working model with competitive benefits, including annual leave and stock options.
Aug 26, 2026
Full time
European SaaS Benchmark is seeking a Senior Engineering Manager in London to lead the Compliance strategy for the product engineering team. This role involves overseeing delivery, performance, and innovation for teams of engineers, ensuring a secure and trustworthy connection for clients and freelancers. Key responsibilities include managing cross-functional squads, developing product strategy, and ensuring operational reliability. The ideal candidate will have a strong backend foundation, exceptional communication skills, and a background in compliance or fintech systems. The position offers a hybrid working model with competitive benefits, including annual leave and stock options.
